Buildability / Receipt
This public receipt window renders only fields present in the canonical receipt object, deterministic fixture receipt, or canonical evidence receipt. Missing compute, demo, hash, signature, approval, telemetry, and adoption fields stay explicit.
Public buildability page receipt window
/buildability/evotrainer-co-evolving-llm-policies-and-training-harnesses-for-autonomous-agentic-reinforcement-learning
Subject: EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Data
{"file name": "input.pdf", "number of pages": 19, "author": "Guhong Chen; Yingcheng Shi; Yongbin Li; Binhua Li; Xander Xu; Hu Wei; Shiwen Ni; Min Yang; Jieping Ye"
Truth Boundary
Buildability surfaces only report computed viability and proof receipts. They do not claim live production usage, pilot outcomes, founder sign-off, public Brier calibration, judge divergence, or external adoption unless explicitly sourced.
Compute
{"file name": "input.pdf", "number of pages": 19, "author": "Guhong Chen; Yingcheng Shi; Yongbin Li; Binhua Li; Xander Xu; Hu Wei; Shiwen Ni; Min Yang; Jieping Ye", "title": "EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning", "creation date": null
Inference
{"file name": "input.pdf", "number of pages": 19, "author": "Guhong Chen; Yingcheng Shi; Yongbin Li; Binhua Li; Xander Xu; Hu Wei; Shiwen Ni; Min Yang; Jieping Ye", "title": "EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning", "creation date": null
Hardware
{"file name": "input.pdf", "number of pages": 19, "author": "Guhong Chen; Yingcheng Shi; Yongbin Li; Binhua Li; Xander Xu; Hu Wei; Shiwen Ni; Min Yang; Jieping Ye", "title": "EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning", "creation date": null
Receipt path
/buildability/evotrainer-co-evolving-llm-policies-and-training-harnesses-for-autonomous-agentic-reinforcement-learning
Paper ref
evotrainer-co-evolving-llm-policies-and-training-harnesses-for-autonomous-agentic-reinforcement-learning
arXiv id
2606.03108
Generated at
2026-06-03T20:48:52.831Z
Evidence freshness
fresh
Last verification
2026-06-03T20:48:52.831Z
Sources
3
References
0
Coverage
50%
Lineage hash
9f88eddced27bc8cb38b0a22f876e4ef1cfadb466dbb44585c06c5b7d580ce45
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Canonical opportunity-kernel evidence is available for this receipt window.
repo_url
references